{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Using TensorFlow backend.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from keras.layers import Input, Conv2D, MaxPooling2D, Dense, Flatten, Dropout\n",
    "from keras.models import Sequential\n",
    "from keras.preprocessing.image import ImageDataGenerator\n",
    "from sklearn.utils import shuffle\n",
    "import keras\n",
    "import tensorflow as tf\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "def augmentImages(images, multFactor, nRows=110, nCols=110, channels=1):\n",
    "    \"\"\" Applies series of Keras image preprocessing techniques to increase size of training dataset\n",
    "        Input: An array of images [numImages, nRows, nCols, channels], \n",
    "           multiplicative factor for the image set, \n",
    "           number of rows in image,\n",
    "           number of columns in image,\n",
    "           number of image channels,\n",
    "        Output: An array of images [numImages*multFactor, nRows, nCols, channels]\n",
    "    \"\"\"\n",
    "    gen = ImageDataGenerator()        \n",
    "    newImages = []    \n",
    "    for _ in range(multFactor):\n",
    "        for image in images:\n",
    "            transformedImage = gen.apply_transform(image, {'theta': np.random.choice(range(270)),\n",
    "                                                           'brightness': np.random.uniform(low=0.001, high=0.99)})\n",
    "            newImages.append(transformedImage)\n",
    "    newImages = np.array(newImages)    \n",
    "    return newImages"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "trainImagesFile = 'train_images.csv'\n",
    "trainLabelsFile = 'train_labels.csv'\n",
    "testImagesFile = 'test_images.csv'\n",
    "testLabelsFile = 'test_labels.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# load images and toss out the row and column headers, load the labels\n",
    "dfTrainImages = pd.read_csv(trainImagesFile, index_col=False, header=None)\n",
    "dfTrainLabels = pd.read_csv(trainLabelsFile)\n",
    "dfTestImages = pd.read_csv(testImagesFile, index_col=False, header=None)\n",
    "dfTestLabels = pd.read_csv(testLabelsFile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Convert all data frames to numpy arrays\n",
    "dfTrainImages = dfTrainImages.values\n",
    "dfTrainLabels = dfTrainLabels.values\n",
    "dfTestImages = dfTestImages.values\n",
    "dfTestLabels = dfTestLabels.values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Keras expects 4D array for model\n",
    "dfTrainImages = dfTrainImages.reshape(-1, 110, 110, 1)\n",
    "dfTestImages = dfTestImages.reshape(-1, 110, 110, 1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# replace the NaN with 0s, makes denoting the classes easier\n",
    "dfTrainLabels = np.nan_to_num(dfTrainLabels)\n",
    "dfTestLabels = np.nan_to_num(dfTestLabels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.8571428571428571,\n",
       " 0.015,\n",
       " 0.026714285714285715,\n",
       " 0.049428571428571426,\n",
       " 0.05171428571428571)"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get the labels, 1, 2, 3, 4. Please see the venus data set documentation at\n",
    "# https://www.kaggle.com/fmena14/volcanoesvenus\n",
    "trainLabels = dfTrainLabels[:,1]\n",
    "testLabels = dfTestLabels[:,1]\n",
    "\n",
    "zeros = np.where(trainLabels == 0)[0]\n",
    "ones = np.where(trainLabels == 1)[0]\n",
    "twos = np.where(trainLabels == 2)[0]\n",
    "threes = np.where(trainLabels == 3)[0]\n",
    "fours = np.where(trainLabels == 4)[0]\n",
    "\n",
    "# check training distributions - yup it's horribly skewed\n",
    "zeros.size/7000, ones.size/7000, twos.size/7000, threes.size/7000, fours.size/7000\n",
    "#zeros.size, ones.size, twos.size, threes.size, fours.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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kIRv2PYBMU6vXNUg2ABva5itJnj6G850K/OIYjj/e9DZecMy96G7M+cIxjflPBmk07ACY\nAFZM2V4O7JvaoKo2AZvm4mRJdlbV+Fx81/Ggt/GCY+6FY54fw54CegRYleSMJCcBVwDbhtwHSRJD\nvgKoqleT/B1wL5OPgW6uqieH2QdJ0qSh/w6gqu4B7hnS6eZkKuk40tt4wTH3wjHPg1TVzK0kSQuO\nr4KQpE4tyABIsibJ00n2JLl21P2Zb0k2J9mf5Kej7suwJFmR5P4ku5I8meSaUfdpviV5W5KHk/y4\njflzo+7TMCQ5IcljSb4z6r4MS5Jnk/wkyeNJds7beRbaFFB73cR/An/N5GOnjwCfrKqnRtqxeZTk\nI8ArwB1V9eej7s8wJFkKLK2qHyV5J/AocNkC/+cc4OSqeiXJicAPgWuq6sERd21eJfl7YBx4V1V9\nbNT9GYYkzwLjVTWvv31YiFcA3b1uoqp+ABwcdT+Gqaqer6oftfVfAbtY4L8qr0mvtM0T22dh/QX3\nBkmWA5cCt426LwvRQgwAXzfRmSQrgQ8DD422J/OvTYc8DuwHtlfVQh/zl4DPAr8fdUeGrIDvJ3m0\nvR1hXizEAJjxdRNaOJK8A/gm8Jmq+uWo+zPfquq1qjqLyV/Rn5NkwU75JfkYsL+qHh11X0bg/Ko6\nm8k3J1/dpnnn3EIMgBlfN6GFoc2DfxP4WlV9a9T9Gaaqegl4AFgz4q7Mp/OBj7f58DuBC5L822i7\nNBxVta8t9wPfZnJqe84txADwdRMdaDdEbwd2VdUXR92fYUgylmRxW3878FHgZ6Pt1fypquuqanlV\nrWTy3+P7qupvR9yteZfk5PZgA0lOBlYD8/KE34ILgKp6FTj0uoldwNaF/rqJJF8H/gN4f5KJJOtH\n3achOB/4FJN/FT7ePpeMulPzbClwf5InmPxDZ3tVdfNoZEdOB36Y5MfAw8B3q+p783GiBfcYqCRp\nMAvuCkCSNBgDQJI6ZQBIUqcMAEnqlAEgSZ0yACSpUwaAJHXKAJCkTv0fbxidsaA6dvwAAAAASUVO\nRK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f521bb40ac8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# visualize distribution of classes\n",
    "plt.hist(dfTrainLabels[:,1], bins=[0,1,2,3,4,5])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAD8CAYAAAB+UHOxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f521bb18d30>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(dfTestLabels[:,1], bins=[0,1,2,3,4,5])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.8412582297000731,\n",
       " 0.012801755669348939,\n",
       " 0.03218727139722019,\n",
       " 0.05413313825896123,\n",
       " 0.05961960497439649)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "total = len(testLabels)\n",
    "testZeros = np.where(testLabels == 0)[0]\n",
    "testOnes = np.where(testLabels == 1)[0]\n",
    "testTwos = np.where(testLabels == 2)[0]\n",
    "testThrees = np.where(testLabels == 3)[0]\n",
    "testFours = np.where(testLabels == 4)[0]\n",
    "\n",
    "# check test distributions - yup it's horribly skewed\n",
    "testZeros.size/total, testOnes.size/total, testTwos.size/total, testThrees.size/total, testFours.size/total\n",
    "#testZeros.size, testOnes.size, testTwos.size, testThrees.size, testFours.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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HFD/uMBnEJ06ICCBfXSoFNMwuaEwG8x1HfKyoYig7juYDhbeAsiWMdTyoGT7nUYfQveXw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fjjQsQTlfbZuBUYuFbSuDyjV495drjK+LpPWK0DjjYd+GaLfDPDDQr6nTnbnTOiPOCz1hbrf6Iu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6NYahJzvOb+Socg69Euf/1YT7/6CKMrKEPtxuchPRSN4/blPzY158/Q6z3Gc1HLEQTDhJqvxy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\nYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f521aecc1d0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# let's check out some random volcanoes\n",
    "for i in range(0,4):\n",
    "    img = np.random.choice(len(ones))\n",
    "    plt.subplot(221 + (i))\n",
    "    plt.imshow(dfTrainImages[ones[img]].reshape(110,110))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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dRjzTY71bZ1KycI2Yv33iBTgBLw9XeHl3ia5VxD48zr2DMiqVzD25z85GHQyF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\nFcDu7TUAGg+ldK9CKdGLBrSeO2M0jWhGKYEuKUcBNHPCE0EA0+7CRHfkM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OoAACAASURB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\nK8xUZBE2tKi1jCI3RHdC1v5oyv6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Pa5gMRht/ztpn54ndFUiehD+SL3d9Nyed91DWsPh2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\nDFsULRaL5Ri2KFosFssxbFG0WCyWY/wvAyhHYh0QfIcAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f521850b828>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# check out some random NOT volcanoes\n",
    "for i in range(0,4):\n",
    "    img = np.random.choice(len(zeros))\n",
    "    plt.subplot(221 + (i))\n",
    "    plt.imshow(dfTrainImages[zeros[img]].reshape(110,110))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "trainLabels = keras.utils.to_categorical(trainLabels, 5)\n",
    "testLabels = keras.utils.to_categorical(testLabels, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model = Sequential()\n",
    "model.add(Conv2D(16, (4,4), activation='relu', input_shape=(110, 110,1)))\n",
    "model.add(Conv2D(32, (4,4), activation='relu'))\n",
    "model.add(MaxPooling2D(pool_size=(2,2)))\n",
    "model.add(Conv2D(64, (2,2), activation='relu'))\n",
    "model.add(Conv2D(128, (2,2), activation='relu'))\n",
    "model.add(MaxPooling2D(pool_size=(2,2)))\n",
    "model.add(Dropout(0.25))\n",
    "model.add(Flatten())\n",
    "model.add(Dense(512,activation='relu'))\n",
    "model.add(Dense(5, activation='softmax'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "model.compile(optimizer=keras.optimizers.SGD(1e-3),\n",
    "              loss='categorical_crossentropy',\n",
    "              metrics=['accuracy'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# Next we need to augment the images, so split them out into types. This is to get approximately equal numbers \n",
    "# of each class\n",
    "noVolcanoes = dfTrainImages[zeros]\n",
    "volcanoes = dfTrainImages[ones]\n",
    "volcanoes2 = dfTrainImages[twos]\n",
    "volcanoes3 = dfTrainImages[threes]\n",
    "volcanoes4 = dfTrainImages[fours]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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ztznw3wunKB4hNMOASTu6oaVbOvwHJZNhyaIZMfnTmHra03ZqmH9qSGbq7SWo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\nemcy8S5H8l76z504NmqZyroguCKZVjhUK0GAbG8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Rl29yLXs+WBP0H2vihWd9O9xPidgc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\n2CTFTWxiE5s4E5ukuIlNbGITZ+L/Ar0udbfCIU6pAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f521b9bbc88>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "newImage = augmentImages([volcanoes[0]], multFactor=1)\n",
    "plt.subplot(221)\n",
    "plt.imshow(volcanoes[0].reshape(110,110))\n",
    "plt.subplot(222)\n",
    "plt.imshow(newImage.reshape(110,110))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "augmentedVolcanoes =  augmentImages(volcanoes,  multFactor=50)\n",
    "augmentedVolcanoes2 = augmentImages(volcanoes2, multFactor=35)\n",
    "augmentedVolcanoes3 = augmentImages(volcanoes3, multFactor=15)\n",
    "augmentedVolcanoes4 = augmentImages(volcanoes4, multFactor=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# now we have to reassemble the dataset and construct the new labels\n",
    "x_train = np.vstack([noVolcanoes, augmentedVolcanoes, augmentedVolcanoes2, augmentedVolcanoes3, augmentedVolcanoes4])\n",
    "\n",
    "noVolcanoesLabels = np.zeros(noVolcanoes.shape[0])\n",
    "augmentedVolcanoesLabels = np.ones(augmentedVolcanoes.shape[0])\n",
    "augmentedVolcanoes2Labels = 2*np.ones(augmentedVolcanoes2.shape[0])\n",
    "augmentedVolcanoes3Labels = 3*np.ones(augmentedVolcanoes3.shape[0])\n",
    "augmentedVolcanoes4Labels = 4*np.ones(augmentedVolcanoes4.shape[0])\n",
    "\n",
    "y_train = np.hstack([noVolcanoesLabels, augmentedVolcanoesLabels, augmentedVolcanoes2Labels, \n",
    "                     augmentedVolcanoes3Labels, augmentedVolcanoes4Labels])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "x_train, y_train = shuffle(x_train, y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "y_train = keras.utils.to_categorical(y_train, 5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/50\n",
      "28415/28415 [==============================] - 20s 695us/step - loss: 1.7937 - acc: 0.2741\n",
      "Epoch 2/50\n",
      "28415/28415 [==============================] - 18s 625us/step - loss: 1.3153 - acc: 0.4353\n",
      "Epoch 3/50\n",
      "28415/28415 [==============================] - 18s 626us/step - loss: 1.2545 - acc: 0.4631\n",
      "Epoch 4/50\n",
      "28415/28415 [==============================] - ETA: 0s - loss: 1.1163 - acc: 0.507 - 18s 627us/step - loss: 1.1163 - acc: 0.5077\n",
      "Epoch 5/50\n",
      "28415/28415 [==============================] - 18s 628us/step - loss: 1.0662 - acc: 0.5262\n",
      "Epoch 6/50\n",
      "28415/28415 [==============================] - 18s 627us/step - loss: 1.0426 - acc: 0.5425\n",
      "Epoch 7/50\n",
      "28415/28415 [==============================] - 18s 628us/step - loss: 1.0974 - acc: 0.5387\n",
      "Epoch 8/50\n",
      "28415/28415 [==============================] - 18s 627us/step - loss: 1.0360 - acc: 0.5575\n",
      "Epoch 9/50\n",
      "28415/28415 [==============================] - 18s 628us/step - loss: 0.9903 - acc: 0.5773\n",
      "Epoch 10/50\n",
      "28415/28415 [==============================] - 18s 628us/step - loss: 0.9577 - acc: 0.5930\n",
      "Epoch 11/50\n",
      "28415/28415 [==============================] - 18s 628us/step - loss: 0.9274 - acc: 0.6083\n",
      "Epoch 12/50\n",
      "28415/28415 [==============================] - 18s 627us/step - loss: 0.9068 - acc: 0.6245\n",
      "Epoch 13/50\n",
      "28415/28415 [==============================] - 18s 629us/step - loss: 0.8791 - acc: 0.6346\n",
      "Epoch 14/50\n",
      "28415/28415 [==============================] - 18s 638us/step - loss: 0.8550 - acc: 0.6506\n",
      "Epoch 15/50\n",
      "28415/28415 [==============================] - 18s 638us/step - loss: 0.8302 - acc: 0.6645\n",
      "Epoch 16/50\n",
      "28415/28415 [==============================] - 18s 639us/step - loss: 0.7974 - acc: 0.6829\n",
      "Epoch 17/50\n",
      "28415/28415 [==============================] - 18s 633us/step - loss: 0.7702 - acc: 0.6942\n",
      "Epoch 18/50\n",
      "28415/28415 [==============================] - 18s 640us/step - loss: 0.7738 - acc: 0.6982\n",
      "Epoch 19/50\n",
      "28415/28415 [==============================] - 18s 634us/step - loss: 0.7147 - acc: 0.7186\n",
      "Epoch 20/50\n",
      "28415/28415 [==============================] - 18s 636us/step - loss: 0.6786 - acc: 0.7348\n",
      "Epoch 21/50\n",
      "28415/28415 [==============================] - 18s 631us/step - loss: 0.6431 - acc: 0.7563\n",
      "Epoch 22/50\n",
      "28415/28415 [==============================] - 18s 636us/step - loss: 0.6108 - acc: 0.7707\n",
      "Epoch 23/50\n",
      "28415/28415 [==============================] - 18s 636us/step - loss: 0.5731 - acc: 0.7854\n",
      "Epoch 24/50\n",
      "28415/28415 [==============================] - 18s 636us/step - loss: 0.5330 - acc: 0.8002\n",
      "Epoch 25/50\n",
      "28415/28415 [==============================] - 18s 641us/step - loss: 0.5089 - acc: 0.8143\n",
      "Epoch 26/50\n",
      "28415/28415 [==============================] - 18s 635us/step - loss: 0.4875 - acc: 0.8271\n",
      "Epoch 27/50\n",
      "28415/28415 [==============================] - 18s 642us/step - loss: 0.4320 - acc: 0.8485\n",
      "Epoch 28/50\n",
      "28415/28415 [==============================] - 18s 638us/step - loss: 0.4086 - acc: 0.8531\n",
      "Epoch 29/50\n",
      "28415/28415 [==============================] - 18s 644us/step - loss: 0.4100 - acc: 0.8576\n",
      "Epoch 30/50\n",
      "28415/28415 [==============================] - 18s 650us/step - loss: 0.3436 - acc: 0.8825\n",
      "Epoch 31/50\n",
      "28415/28415 [==============================] - 18s 638us/step - loss: 0.3236 - acc: 0.8905\n",
      "Epoch 32/50\n",
      "28415/28415 [==============================] - 18s 642us/step - loss: 0.3254 - acc: 0.8918\n",
      "Epoch 33/50\n",
      "28415/28415 [==============================] - 18s 645us/step - loss: 0.2916 - acc: 0.9029\n",
      "Epoch 34/50\n",
      "28415/28415 [==============================] - 18s 648us/step - loss: 0.2521 - acc: 0.9168\n",
      "Epoch 35/50\n",
      "28415/28415 [==============================] - 18s 645us/step - loss: 0.7259 - acc: 0.7309\n",
      "Epoch 36/50\n",
      "28415/28415 [==============================] - 18s 644us/step - loss: 0.2374 - acc: 0.9217\n",
      "Epoch 37/50\n",
      "28415/28415 [==============================] - 18s 639us/step - loss: 0.2184 - acc: 0.9278\n",
      "Epoch 38/50\n",
      "28415/28415 [==============================] - 18s 646us/step - loss: 0.1996 - acc: 0.9349\n",
      "Epoch 39/50\n",
      "28415/28415 [==============================] - 18s 639us/step - loss: 0.2378 - acc: 0.9281\n",
      "Epoch 40/50\n",
      "28415/28415 [==============================] - 18s 638us/step - loss: 0.1877 - acc: 0.9395\n",
      "Epoch 41/50\n",
      "28415/28415 [==============================] - 18s 641us/step - loss: 0.1675 - acc: 0.9486\n",
      "Epoch 42/50\n",
      "28415/28415 [==============================] - 18s 641us/step - loss: 0.1800 - acc: 0.9481\n",
      "Epoch 43/50\n",
      "28415/28415 [==============================] - 18s 639us/step - loss: 0.1614 - acc: 0.9499\n",
      "Epoch 44/50\n",
      "28415/28415 [==============================] - 18s 644us/step - loss: 0.1438 - acc: 0.9544\n",
      "Epoch 45/50\n",
      "28415/28415 [==============================] - 18s 635us/step - loss: 0.1810 - acc: 0.9470\n",
      "Epoch 46/50\n",
      "28415/28415 [==============================] - 18s 640us/step - loss: 0.1453 - acc: 0.9573\n",
      "Epoch 47/50\n",
      "28415/28415 [==============================] - 18s 636us/step - loss: 0.1239 - acc: 0.9617\n",
      "Epoch 48/50\n",
      "28415/28415 [==============================] - 18s 634us/step - loss: 0.1174 - acc: 0.9641\n",
      "Epoch 49/50\n",
      "28415/28415 [==============================] - 18s 637us/step - loss: 0.1177 - acc: 0.9654\n",
      "Epoch 50/50\n",
      "28415/28415 [==============================] - 18s 640us/step - loss: 0.1141 - acc: 0.9666\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f521af11470>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(x_train, y_train, batch_size=64, verbose=1, epochs=50)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test loss: 1.2049557184466675\n",
      "Test accuracy 0.8730797365187901\n"
     ]
    }
   ],
   "source": [
    "score = model.evaluate(dfTestImages, testLabels, verbose=0)\n",
    "print('Test loss:', score[0])\n",
    "print('Test accuracy', score[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "predictions = model.predict(dfTestImages)\n",
    "classes = np.array([np.argmax(row) for row in predictions], dtype=np.float16)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYAAAAD8CAYAAAB+UHOxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n4VHrAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f5213784fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(classes, bins=[0,1,2,3,4,5])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "possibleVolcanoes = np.where(classes == 1)[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[0. 0. 1. 0. 3. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n",
      "[0. 0. 0. 0. 2. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.]\n"
     ]
    }
   ],
   "source": [
    "print(dfTestLabels[:20,1])\n",
    "print(classes[:20])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/15\n",
      "28415/28415 [==============================] - 17s 612us/step - loss: 0.1286 - acc: 0.9649\n",
      "Epoch 2/15\n",
      "28415/28415 [==============================] - 17s 613us/step - loss: 0.1087 - acc: 0.9711\n",
      "Epoch 3/15\n",
      "28415/28415 [==============================] - 18s 621us/step - loss: 0.1075 - acc: 0.9724\n",
      "Epoch 4/15\n",
      "28415/28415 [==============================] - 18s 618us/step - loss: 0.2753 - acc: 0.9302\n",
      "Epoch 5/15\n",
      "28415/28415 [==============================] - 17s 615us/step - loss: 0.4061 - acc: 0.8657\n",
      "Epoch 6/15\n",
      "28415/28415 [==============================] - 18s 620us/step - loss: 0.1038 - acc: 0.9740\n",
      "Epoch 7/15\n",
      "28415/28415 [==============================] - 17s 616us/step - loss: 0.0917 - acc: 0.9755\n",
      "Epoch 8/15\n",
      "28415/28415 [==============================] - 18s 621us/step - loss: 0.1090 - acc: 0.9727\n",
      "Epoch 9/15\n",
      "28415/28415 [==============================] - 18s 618us/step - loss: 0.0812 - acc: 0.9792\n",
      "Epoch 10/15\n",
      "28415/28415 [==============================] - 17s 613us/step - loss: 0.0825 - acc: 0.9794\n",
      "Epoch 11/15\n",
      "28415/28415 [==============================] - 17s 609us/step - loss: 0.0748 - acc: 0.9803\n",
      "Epoch 12/15\n",
      "28415/28415 [==============================] - 18s 617us/step - loss: 0.0823 - acc: 0.9794\n",
      "Epoch 13/15\n",
      "28415/28415 [==============================] - 17s 614us/step - loss: 0.0787 - acc: 0.9809\n",
      "Epoch 14/15\n",
      "28415/28415 [==============================] - 17s 609us/step - loss: 0.0810 - acc: 0.9795\n",
      "Epoch 15/15\n",
      "28415/28415 [==============================] - 17s 610us/step - loss: 0.0674 - acc: 0.9836\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f52c490e6d8>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(x_train, y_train, batch_size=64, verbose=1, epochs=15)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test loss: 1.349617116157413\n",
      "Test accuracy 0.8749085588880761\n"
     ]
    }
   ],
   "source": [
    "score = model.evaluate(dfTestImages, testLabels, verbose=0)\n",
    "print('Test loss:', score[0])\n",
    "print('Test accuracy', score[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch 1/15\n",
      "28415/28415 [==============================] - 18s 620us/step - loss: 0.0834 - acc: 0.9799\n",
      "Epoch 2/15\n",
      "28415/28415 [==============================] - 17s 605us/step - loss: 0.0822 - acc: 0.9804\n",
      "Epoch 3/15\n",
      "28415/28415 [==============================] - 17s 607us/step - loss: 0.0666 - acc: 0.9833\n",
      "Epoch 4/15\n",
      "28415/28415 [==============================] - 17s 607us/step - loss: 0.0624 - acc: 0.9850\n",
      "Epoch 5/15\n",
      "28415/28415 [==============================] - 17s 607us/step - loss: 0.0675 - acc: 0.9832\n",
      "Epoch 6/15\n",
      "28415/28415 [==============================] - 17s 607us/step - loss: 0.0625 - acc: 0.9846\n",
      "Epoch 7/15\n",
      "28415/28415 [==============================] - 17s 606us/step - loss: 0.0579 - acc: 0.9863\n",
      "Epoch 8/15\n",
      "28415/28415 [==============================] - 17s 613us/step - loss: 0.0557 - acc: 0.9868\n",
      "Epoch 9/15\n",
      "28415/28415 [==============================] - 17s 606us/step - loss: 0.2003 - acc: 0.9456\n",
      "Epoch 10/15\n",
      "28415/28415 [==============================] - 17s 610us/step - loss: 0.0605 - acc: 0.9860\n",
      "Epoch 11/15\n",
      "28415/28415 [==============================] - 17s 607us/step - loss: 0.0777 - acc: 0.9823\n",
      "Epoch 12/15\n",
      "28415/28415 [==============================] - 17s 606us/step - loss: 0.0582 - acc: 0.9870\n",
      "Epoch 13/15\n",
      "28415/28415 [==============================] - 17s 611us/step - loss: 0.0546 - acc: 0.9872\n",
      "Epoch 14/15\n",
      "28415/28415 [==============================] - 17s 609us/step - loss: 0.0536 - acc: 0.9881\n",
      "Epoch 15/15\n",
      "28415/28415 [==============================] - 17s 608us/step - loss: 0.0531 - acc: 0.9880\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<keras.callbacks.History at 0x7f521ba987b8>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model.fit(x_train, y_train, batch_size=64, verbose=1, epochs=25)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Test loss: 1.3577875733590496\n",
      "Test accuracy 0.8782004387865296\n"
     ]
    }
   ],
   "source": [
    "score = model.evaluate(dfTestImages, testLabels, verbose=0)\n",
    "print('Test loss:', score[0])\n",
    "print('Test accuracy', score[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# 84.1% just by guessing 0"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
